m6A and transcript fate
m6A is the mark most often read against what a transcript does. Four levels carry most of that work: how it is spliced, whether it leaves the nucleus, how efficiently it is translated, and how long it lasts.
01The question
A study under this heading is asking what a specific m6A site does to the transcript that carries it. The mark itself is a position and a ratio; the answer the study wants is a change in how that transcript behaves.
Because the four levels are position-dependent, the modification data has to be resolved to a position before any of them can be addressed. A region-level m6A profile can nominate a transcript; it cannot be tied to a splice junction, a coding sequence or a UTR.
02What m6A is read against
- Splicing. Whether a site near a splice junction tracks with the isoform ratio measured from the same samples.
- Nuclear export. Whether the modification state differs between the nuclear and cytoplasmic pools of the same transcript.
- Translation. Whether a site in the coding sequence or a UTR tracks with translation efficiency or with where ribosomes stall.
- Stability. Whether the modification ratio at a site moves with how long the transcript survives, in a design that separates synthesis from turnover.
- Reader recruitment. Which proteins are found on the transcript and whether that changes when the site or the reader is perturbed.
03Which route reads the mark
m6A Modification Seq (CAM-seq)
Site-level position and ratio from chemical deamination of unmodified adenosine.
Site-levelposition & level m6A · 02m6A Modification Seq (GLORI2-seq)
The same A-to-G logic through a glyoxal-based chemistry.
Site-levelposition & level SCREENm6A Modification Profile (MeRIP-Seq)
Enrichment-based profiling when the first question is which transcripts move across many samples.
Transcriptenrichment REFERENCEModification types
Where m6A sits among the other marks, and which methods read each one.
Reference14 marks04Readouts usually run alongside
The modification assay describes the mark. The readout below describes the transcript, and it is part of the study design rather than a service offered here.
Expression and steady state
Separates a change in modification from a change in how much transcript is present — the control most often asked for first.
Ribosome profiling
Reports translation efficiency and ribosome stalling, which is what a coding-region site is usually claimed to affect.
Protein–RNA interaction profiling
Identifies which proteins sit on the transcript, for work that follows a reader protein.
05Setting the study up
- Fix the level. Pick one of splicing, export, translation or stability — the design follows from it.
- Resolve the mark to a position, so a site can be tied to a specific feature of the transcript.
- Measure the functional readout on the same material, split after extraction rather than collected separately.
- Read the site ratio and the functional value side by side, with abundance visible underneath both.
| What you want to conclude | Modification side | Request Quote |
|---|---|---|
| A site tracks with a functional readout | Site-level m6A on matched samples | |
| Which transcripts move across many samples | Enrichment-based m6A profiling | |
| The modification level itself changed | LC-MS as an independent readout |
06FAQ
Do I need site-level data to study m6A function?
For a claim that names a position, yes. Region-level profiling is the faster route to a transcript list, and the position then comes from a single-base method. None of the four levels — splicing, export, translation or stability — can be attached to a transcript-level signal, because each is a property of a particular site.
Which level is the easiest to start from?
Expression and steady state, because the readout is usually already available from the same samples and serves as the control that separates a change in modification from a change in how much transcript is present. Translation and stability need their own design, and both are more informative once abundance is visible underneath them.
Can one experiment cover more than one level?
The modification data can serve several questions, but the functional readouts are separate measurements and each has its own requirement. One site table can be read against splicing and against translation at the same time; what it cannot do is stand in for those measurements, so each level has to be collected on the same material.
What is the boundary to state in the paper?
That the modification data reports positions and ratios, and that the functional link depends on the design rather than on the modification assay. It is also worth stating which level was measured and on what material, since a reader will otherwise assume the transcript-level behavior was measured alongside.